Search of the neutrino-less double beta decay of $$^{82}$$ 82 Se into the excited states of $$^{82}$$ 82 Kr with CUPID-0
Bibliographic record
Abstract
The CUPID-0 experiment searches for double beta decay using cryogenic calorimeters with double (heat and light) read-out. The detector, consisting of 24 ZnSe crystals 95 $$\%$$ enriched in $$^{82}$$ Se and two natural ZnSe crystals, started data-taking in 2017 at Laboratori Nazionali del Gran Sasso. We present the search for the neutrino-less double beta decay of $$^{82}$$ Se into the 0 $$_1^+$$ , 2 $$_1^+$$ and 2 $$_2^+$$ excited states of $$^{82}$$ Kr with an exposure of 5.74 kg $$\cdot $$ yr (2.24 $$\times $$ 10 $$^{25}$$ emitters $$\cdot $$ yr). We found no evidence of the decays and set the most stringent limits on the widths of these processes: $$\varGamma $$ ( $$^{82}$$ Se $$\rightarrow ^{82}$$ Kr $$_{0_1^+}$$ )8.55 $$\times $$ 10 $$^{-24}$$ yr $$^{-1}$$ , $$\varGamma $$ ( $$^{82}$$ Se $$\rightarrow ^{82}$$ Kr $$_{2_1^+}$$ ) $$\,{<}\,6.25 \,{\times }\,10^{-24}$$ yr $$^{-1}$$ , $$\varGamma $$ ( $$^{82}$$ Se $$\rightarrow ^{82}$$ Kr $$_{2_2^+}$$ )8.25 $$\times $$ 10 $$^{-24}$$ yr $$^{-1}$$ (90 $$\%$$ credible interval).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".